JPWO2017039018A1 - Work management apparatus, work management method, and work management program - Google Patents

Abstract

  A work content recording apparatus, comprising: a load receiving unit that receives load information related to a load acting on at least one of the skeleton and skeletal muscle of the worker; and a work content specifying unit that associates the load information with the work content of the worker . Alternatively, the work management apparatus includes a posture receiving unit that receives posture information of the worker, and a work content specifying unit that associates the posture information with the work content of the worker.

Description

  The present invention relates to a work management apparatus, a work management method, and a work management program.

In order to record the details of the work performed at the work site in association with the work time, the standard deviation of the acceleration output from the acceleration sensor provided on the worker's arm, the work position of the worker, the rules of the work order There is known a daily work report creation support device that discriminates the work contents of a worker using information and qualified information indicating what kind of qualification the worker has (see, for example, Patent Document 1). . The above-mentioned daily work report creation support apparatus has a problem that the physical state of the worker cannot be grasped.
Patent Document 1 JP 2011-258118 A

General disclosure

  In the first aspect of the present invention, the work management device may include a load receiving unit that receives load information regarding a load acting on at least one of the skeleton and the skeletal muscle of the worker. In addition, the work management apparatus may include a work content specifying unit that associates load information with the work content of the worker.

  The work management apparatus may include a recording unit that records load information in association with time. In the work management device, the work content specifying unit may associate the load information recorded in the recording unit with the work content.

  In the work management apparatus, the work content specifying unit may specify the work content of the worker. In the work management device, the work content specifying unit may associate the specified work content with the load information.

  The work management apparatus may further include a load measurement unit that measures the load on the worker.

  The work management apparatus may further include a load storage unit that stores a work-specific load profile that records a change in load with respect to time corresponding to each of a plurality of work contents. In the work management apparatus, the work content specifying unit creates a load profile from the load information received by the load receiving unit, refers to the work-specific load profile stored in the load storage unit, The content may be specified.

  In the work management apparatus, the work-specific load profile may be measured by executing work contents in advance using a load measuring unit.

  The work management apparatus may include a work content recording unit that records work content in association with the worker's ID. In the work management apparatus, the load storage unit may store a work-specific load profile associated with the worker ID. Further, in the work management apparatus, the load profile unique to the work content of the worker may be updated using the load information calculated in the work content performed by the worker in the past.

  The work management apparatus may include a position storage unit that stores information indicating work positions corresponding to a plurality of work contents. The work management device may include a position receiving unit that receives a work position of the worker. Furthermore, in the work management apparatus, the work content specifying unit may specify the work position received by the position receiving unit. Furthermore, in the work management apparatus, the work content of the worker may be specified by referring to work positions corresponding to each of a plurality of work contents stored in the position storage unit.

  The work management apparatus may further include a posture storage unit in which a posture profile unique to a work corresponding to each of a plurality of work contents is stored. Further, it may include a posture receiving unit that receives posture information during the work of the worker. Further, in the work management apparatus, the work content specifying unit creates a posture profile from the posture information, and stores the work content of the worker with reference to the work-specific posture profile stored in the posture storage unit. Good.

  The work management apparatus may further include an image storage unit in which image information corresponding to each of a plurality of work contents is stored. In the work management device, the work content specifying unit may specify the work content of the worker with reference to image information obtained by capturing the work content of the worker and image information stored in the image storage unit. Good.

  In the second aspect of the present invention, the work management device may include a posture receiving unit that receives posture information of the worker. In addition, the work management device may include a work content specifying unit that associates the posture information with the work content of the worker.

  In the work management apparatus, the work content specifying unit may specify the work content of the worker and associate the specified work content with the posture information.

  The work management apparatus may include a posture storage unit in which a posture profile unique to a work corresponding to each of a plurality of work contents is stored. In addition, the work management device may include a posture receiving unit that receives posture information when the worker is working. Further, in the work management apparatus, the work content specifying unit creates a posture profile from the posture information received by the posture receiving unit, stores the posture profile stored in the posture storage unit, and refers to the work-specific posture profile. The content may be specified.

  The work management apparatus may further include a calculation unit that calculates an integrated value obtained by integrating the load of the worker. The work management apparatus may further include a load prediction unit that predicts the future load of the worker using the integrated value.

  The work management apparatus may further include a recovery amount storage unit that stores a load recovery amount for each worker. In the work management apparatus, the load prediction unit may predict the future load of the worker using a residual load value obtained by subtracting the recovery amount from the integrated value.

  The work management apparatus may further include a work schedule storage unit that stores a schedule of work contents of the worker. The work management apparatus may further include a load storage unit in which work-specific loads corresponding to each of a plurality of work contents are stored. In the work management apparatus, the load prediction unit predicts the future load of the worker by integrating the work-specific load corresponding to the work content of the worker recorded in the work schedule storage unit and the integrated value. May be.

  The work management apparatus may further include a schedule creation unit that schedules work contents of the worker. In the work management apparatus, the schedule creation unit has a value obtained by adding a work-specific load corresponding to the work content selected as the work content schedule on the X day to the residual load value of at least the X-1 day of the worker. The schedule of the work contents of the worker on the X day may be set so as not to exceed the limit value.

  The said work management apparatus may be provided with the calculation part which calculates the integrated value which integrated | accumulated the operator's load. In addition, the work management apparatus may include a work schedule storage unit that stores a schedule of work contents of the worker. Furthermore, the work management apparatus may include a load storage unit in which work-specific loads corresponding to a plurality of work contents are stored. Furthermore, the work management apparatus may include a schedule creation unit that schedules the work content of the worker. In the work management apparatus, the schedule creation unit may determine the work content of the worker based on the difference between the integrated value in the work content performed by the worker and the value obtained by integrating the work-specific load of the scheduled work content. You may change the schedule.

  The work management apparatus may further include an ideal posture storage unit in which ideal postures corresponding to each of a plurality of work contents are stored. The work management apparatus includes an ideal posture corresponding to the work content specified by the work content specifying unit, and the worker posture calculated from the posture information received by the posture receiving unit when the worker executes the work content. An output unit that outputs the difference between the two may be further included.

  In the work management apparatus, the output unit may output a difference between the ideal posture and the posture of the worker calculated from the posture information received by the posture receiving unit to the display device.

  In the work management apparatus, the output unit may output a difference between the ideal posture and the posture of the worker calculated from the posture information received by the posture receiving unit to a portable terminal owned by the worker.

  In the third aspect of the present invention, the work management method may include a load receiving step of receiving load information regarding a load acting on at least one of the skeleton and skeletal muscle of the worker. In addition, the work management method may include a work content specifying step for associating the load information with the work content of the worker.

  In the fourth aspect of the present invention, the work management method may include a posture receiving step of receiving posture information of the worker. In addition, the work management method may include a work content specifying step for associating the posture information with the work content of the worker.

  In the fifth aspect of the present invention, the work management program may include a load receiving function for receiving load information regarding a load acting on at least one of the skeleton and skeletal muscle of the worker. In addition, the work management program may include a work content specifying function that associates the load information with the work content of the worker.

  In the sixth aspect of the present invention, the work management program may include a posture accepting function for accepting worker posture information. The work management program may include a work content specifying function that associates the posture information with the work content of the worker.

  The summary of the invention does not enumerate all the features of the present invention. In addition, a sub-combination of these feature groups can also be an invention.

It is a schematic diagram of the care facility where the work management apparatus 400 according to the present embodiment is installed. 3 is a front view of a caregiver wearing a load measuring device 60. FIG. 3 is a rear view of a caregiver wearing the load measuring device 60. FIG. 3 is a functional block diagram of a load measuring device 60. FIG. 3 is a functional block diagram of a work content recording apparatus 100. FIG. It is a graph which shows an example of the waist load profile stored in the waist load storage part 104, Comprising: The work specific waist load profile in walk assistance is shown. It is a graph which shows an example of the waist load profile stored in the waist load storage part 104, Comprising: The work specific waist load profile in meal assistance is shown. FIG. 6 is a graph showing an example of a waist load profile stored in the waist load storage unit 104, and shows a work-specific waist load profile in bathing assistance. 5 is a diagram illustrating an example of a table stored in a position storage unit 106. FIG. 3 is a diagram illustrating an example of an output data storage unit 110. FIG. 3 is a schematic diagram illustrating an example of a work record storage unit 118 stored in a work record database 116. FIG. It is a flowchart explaining the process which specifies the work content of a caregiver and records it in the work record storage part 118. FIG. It is a functional block diagram of other work content recording device 200 concerning this embodiment. 3 is a diagram illustrating an example of a recovery amount storage unit 120. FIG. It is a figure which shows an example of the scheduled load storage part. It is a figure explaining the method to set the schedule of the work content of a caregiver, Comprising: The work content schedule in XX month xx day is shown. It is a figure explaining the method of setting the schedule of the work content of a caregiver, Comprising: The waist load integrated value after XX month xx day passes is shown. It is a figure explaining the method of setting the schedule of the work content of a caregiver, Comprising: The work content schedule in XX month xx day after exchanging work content is shown. It is a figure explaining the method of setting the schedule of the work content of a caregiver, Comprising: The waist load integrated value after XX month xx day passes is shown. It is a functional block diagram of the other work content recording apparatus 300 which concerns on this embodiment. It is a figure which shows an example of the display screen 150 which displays the difference between an ideal posture and the posture in the caregiver's work content. It is a graph which shows the profile which displayed the waist load value of the caregivers A to E in time series. It is a graph which shows the profile which displayed the waist load value of the caregivers A to E in time series. It is the bar graph which put together the average waist load value of caregivers A to E for every work place. It is a graph which shows the profile which shows the log | history of the movement of the caregiver's A place. It is a bar graph which shows the waist accumulation fatigue value of the caregivers A to E. It is a bar graph which shows the warning alert frequency of caregivers A to E.

  Hereinafter, the present invention will be described through embodiments of the invention, but the following embodiments do not limit the invention according to the claims. In addition, not all the combinations of features described in the embodiments are essential for the solving means of the invention.

  FIG. 1 shows a care facility 10 in which a work management apparatus 400 according to the present embodiment is installed. The care facility 10 is a facility for elderly people living in wheelchairs, and caregivers 40, 42, 44 (hereinafter may be referred to as caregivers 40, etc.) are cared people 50, 52, 54. , 56 (hereinafter may be referred to as a care recipient 50 or the like). The work management device 400 includes a load measuring device 60 attached to each of the caregivers 40 and the like, and a work content recording device 100 that analyzes data acquired by the load measuring device 60. In the present embodiment, the care facility 10 will be described as an example, but the work management device 400 is not limited to the care facility 10 and may be installed in a facility such as a hospital, a school, a factory, or the like. The caregiver 40 is an example of a worker.

  The care facility 10 includes a plurality of living rooms 12, a canteen 14, a changing room 16, a bathroom 18, and a staff room 20. The living room 12 is a room where a care recipient 50 or the like lives, and includes a bed 11 and a toilet 13. Moreover, the work management apparatus 400 may further include a beacon. In the living room 12, a beacon 22 is installed near the bed 11, and a beacon 24 is installed near the toilet 13. Each of the beacons 22 and 24 transmits a beacon signal including a beacon ID that is identification information of itself. Further, the output range of the beacon signal can be adjusted by adjusting the output of the beacon. The output range of the beacon 22 is adjusted to a range including the periphery of the bed 11, and the output range of the beacon 24 is adjusted to a range including the periphery of the toilet 13. An example of the identification information is a beacon ID, and a beacon ID composed of different numerical values is assigned to each beacon.

  The canteen 14 is a place where the cared person 50 eats, and has a plurality of tables 15 and a beacon 26 provided in each table. The output range of the beacon 26 is adjusted to a range including the periphery of the table 15.

  The changing room 16 is a place where clothes are attached and detached for the care recipient 54 to take a bath. A beacon 28 is also installed in the changing room 16. The output range of the beacon 28 is adjusted to a range including the room of the changing room 16.

  The bathroom 18 is a place where the cared person 56 takes a bath. A beacon 30 is also installed in the bathroom 18. The output range of the beacon 30 is adjusted to a range including the interior of the bathroom 18.

  The load measuring device 60 attached to the caregiver 40 or the like measures a waist load, which is a load acting between lumbar vertebral bodies, which is an example of a skeleton of the caregiver 40 or the like. The skeleton excludes human organs, blood vessels, and muscles, and includes joints such as vertebral bodies, intervertebral discs, elbows, and knees. Further, the load measuring device 60 receives a beacon signal transmitted from the beacons 22, 24, 26, 28, and 30 (hereinafter may be referred to as the beacon 22 or the like).

  The output range of the beacon 22 and the like is adjusted to be a predetermined range so as not to simultaneously receive beacon signals including different identification information from the plurality of beacons 22 and the like. For example, in the cafeteria, when the caregiver 40 provides meal assistance to the care recipient 50, the load measuring device 60 of the caregiver 40 receives a beacon signal including the beacon ID of the beacon 26, A beacon signal including another beacon ID is not received.

  In this way, the beacon whose output range is adjusted is provided in the living room 12, the dining room 14, the changing room 16, and the bathroom 18. The load measuring device 60 receives a beacon signal installed at each place where the caregiver 40 or the like performs work, and outputs the beacon signal to the work content recording device 100. The work content recording device 100 specifies the position where the beacon signal is received from the beacon ID included in the beacon signal. Then, the work content recording device 100 determines that the caregiver 40 or the like to which the load measuring device 60 that outputs the beacon signal is attached has performed the work at the specified position.

  The load measuring device 60 outputs the beacon identification information included in the received beacon signal and information for calculating the waist load value of the caregiver 40 or the like to the work content recording device 100 provided in the staff room 20. To do. Note that the information for calculating the waist load value of the caregiver 40 or the like is one piece of load information related to the load acting on the skeleton of the caregiver 40 or the like, which will be described later. The output from the load measuring device 60 to the work content recording device 100 is compliant with wireless communication standards such as UWB, ZigBee (registered trademark), Wi-Fi, Bluetooth (registered trademark), 3G, and / or LTE, for example. You may output by radio | wireless communication and may output by wired communication. Alternatively, the information may be recorded on a recording medium such as a memory card, and the information may be output to the work content recording apparatus 100 by reading the recording medium such as the memory card with the work content recording apparatus 100. In the case of reading data recorded on a recording medium such as a memory card, the work management device 400 may not include the load measuring device 60, the beacon 22, and the like.

  FIG. 2A is a front view of the caregiver 40 wearing the load measuring device 60. FIG. 2B shows a rear view of the caregiver 40 and the like wearing the load measuring device 60. The load measuring device 60 is attached by being wound around the waist of a caregiver 40 or the like. The load measuring device 60 is provided with an angle acquisition unit 66 on the side contacting the waist of the caregiver 40 or the like, a load measuring unit 64 is provided under a foot such as a shoe sole, and the load measuring device 60 further includes: A control unit 67 is provided on the side surface side.

  FIG. 3 shows a functional block diagram of the load measuring device 60. The load measuring device 60 includes a load measuring unit 62 and a control unit 67. The load measurement unit 62 includes a load measurement unit 64 and an angle acquisition unit 66.

  The load measuring unit 64 measures the load applied to the caregiver 40 and outputs information indicating the load to the control unit 67. The load measuring unit 64 may be a load cell, for example.

  In the case of using the load cell, the load applied to the caregiver 40 is measured by detecting the load changed by supporting the care recipient, etc., based on the load when the caregiver 40 has nothing. The angle acquisition unit 66 includes an acceleration sensor 75 and a bending sensor 70, measures the angle of the trunk of the caregiver 40 or the like, and outputs information indicating the angle of the trunk to the control unit 67.

  The control unit 67 includes a position acquisition unit 68 that receives a beacon signal output from the beacon 22 and the like, and an output unit 69. The position acquisition unit 68 receives a beacon signal including identification information for specifying a place where the caregiver 40 or the like is performing care. For this reason, the position acquisition part 68 acquires the information which shows work positions, such as caregiver 40 indirectly, by receiving a beacon signal. The output unit 69 acquires information indicating the load and trunk angle from the load measuring device 60 and identification information such as the beacon 22 and is registered in advance in the load measuring device 60 and together with the caregiver ID. Output to the recording apparatus 100. An example of the caregiver ID is a character composed of Roman letters and numbers assigned in advance to the caregiver 40 or the like, and is input in advance by the caregiver 40 or the like when the load measuring device 60 is used.

  FIG. 4 shows a functional block diagram of the work content recording apparatus 100. The work content recording apparatus 100 includes a receiving unit 101, a work content specifying database 102, a work content specifying unit 112, a work content recording unit 114, and a work record database 116. The receiving unit 101 receives the load information, which is load information of the caregiver 40 and the information indicating the angle of the trunk, the identification information such as the beacon 22 and the caregiver ID from the load measuring device 60 in association with the time. Is output to the work content identification unit 112. Therefore, the reception unit 101 functions as a load reception unit and a position reception unit. Here, the time may be a time, a time zone from time to time, or an elapsed time from a predetermined time point.

  The work content specifying unit 112 calculates the waist load value of the caregiver 40 or the like using the load information and the information indicating the trunk angle. In this case, for example, the compression force generated in the intervertebral disc of the lumbar vertebra is calculated by a balance of forces in a model in which the upper spine from the joint part for calculating the compression force is regarded as a rigid body, and the compression force is set as the waist load value. . In this balance of forces, the weight, trunk length, etc. of the caregiver 40, etc. are constants, and the load and trunk angle are variables. Instead, experimentally, in advance, the contribution of the load and the contribution of the shape of the lumbar spine are grasped with respect to the entire waist load generated in the caregiver, and the work content specifying unit 112 determines the contribution to the load value. The waist load value generated in the caregiver 40 or the like may be calculated by adding the waist load value obtained by multiplying the waist load value obtained by multiplying the contribution to the waist load value calculated from the shape of the lumbar spine. In addition, the work content identification unit 112 refers to the load storage unit 104 stored in the work content identification database 102 and identifies the work content performed by the caregiver 40 or the like from the calculated waist load value.

  The work content identification database 102 accommodates a load storage unit 104, a position storage unit 106, a caregiver information storage unit 108, and an output data storage unit 110. FIG. 5A shows a waist load profile unique to work in walking assistance as an example of a waist load profile stored in the load storage unit 104.

  As shown in FIG. 5 (a), in walking assistance, a large waist load is applied to the caregiver 40 or the like when transferring from a bed to a wheelchair when starting a walk and when transferring from a wheelchair to a bed when finishing a walk. give. However, at other times, a large waist load is not given to the caregiver 40 or the like.

  FIG. 5B shows an example of a waist load profile unique to work in meal assistance as an example of a waist load profile stored in the load storage unit 104. As shown in FIG. 5B, in the meal assistance, a large waist load is applied to the caregiver 40 or the like in the transfer from the bed before moving to the canteen 14 to the wheelchair and the transfer from the wheelchair to the bed after the meal is finished. However, at other times, the caregiver 40 or the like is given a waist load that is slightly larger than walking assistance.

  FIG. 5C shows a work-specific waist load profile in bathing assistance as an example of the waist load profile stored in the load storage unit 104. As shown in FIG. 5 (c), in bathing assistance, a large waist load is applied to the caregiver 40 or the like when transferring from the bed before moving to the changing room 16 to the wheelchair and when transferring from the changing room 16 to the bed. give. In addition, a large waist load is given to the caregiver in undressing assistance and clothing assistance in the changing room 16, and also in bathing assistance. In addition, as an example of the waist load data stored in the load storage unit 104, the waist load profile in walking assistance, meal assistance, and bathing assistance is shown, but not limited to this, load profiles corresponding to various work contents are loaded. You may store in the storage part 104. FIG.

  The position storage unit 106 stores a table in which beacon IDs and work contents installed in the care facility 10 are recorded. FIG. 6 shows an example of a table stored in the position storage unit 106. As shown in FIG. 7, the work content with high probability performed at the place where the beacon is installed is recorded corresponding to the beacon ID installed at the place. For example, since the beacon 26 is provided in the cafeteria 14, “meal assistance” is stored as the work content corresponding to the beacon ID of the beacon 26. Similarly, since the beacon 30 is provided in the bathroom 18, “Bathing assistance” is recorded as the work content corresponding to the beacon ID of the beacon 30.

  In the caregiver information storage unit 108, information indicating the height, weight, etc. of the caregiver 40 is recorded in association with the caregiver ID. Information indicating height, weight, and the like recorded in the caregiver information storage unit 108 is measured and recorded in advance for each caregiver 40. Alternatively, the caregiver 40 may be caused to input the sleep time and physical condition of the caregiver 40 every day or every few days, and this information may be stored in the caregiver information storage unit 108.

  In the output data storage unit 110, load information (N 11 to N 42) indicating the load acquired from the load measuring device 60 in association with the caregiver ID and the date and time when the information is acquired, and information indicating the trunk angle ( D11 to D42), beacon ID, and waist load values (K11 to K42) calculated by the work content specifying unit 112 are recorded.

  FIG. 7 shows an example of the output data storage unit 110. For example, it is assumed that the load information N11, the information D11 indicating the trunk angle, and the beacon ID of the beacon 22 are acquired from the load measuring device 60 having the caregiver ID 0001 at 6 o'clock in the year xx month xx. The work content specifying unit 112 calculates the waist load value K11 using the load information N11 and the information D11 indicating the trunk angle. The work content specifying unit 112 is a row of the caregiver ID 0001, and information indicating the load information N11 and the angle of the trunk in a frame corresponding to the column of 6: 00: 00: 00 on 2014 xx month xx. D11, beacon ID of beacon 22 and waist load value K11 are recorded.

  Similarly, the load information N12 and the information D12 indicating the trunk angle are received from the load measuring device 60 having the caregiver ID 0001 at 6:00: 00: 01 on 2014 xx month xx 0.1 seconds later. Suppose that the ID of the beacon 22 is acquired. The work content specifying unit 112 calculates the waist load value K12 using the load information N12 and the information D12 indicating the trunk angle. The work content specifying unit 112 is a row of the caregiver ID 0001, and information indicating the load information N12 and the trunk angle in a frame corresponding to the column of 6: 00: 00: 01 on 2014 xx month xx. D12, ID of beacon 22 and waist load value K12 are recorded. Similarly, in the case of information acquired from the load measuring device 60 having a different caregiver ID, the column corresponds to the acquired time, that is, the acquired time in the example shown in FIG. To record.

  The specification of work content by the work content specifying unit 112 will be described. The work content specifying unit 112 specifies the work content on the condition that a predetermined number of waist load data has been stored in the output data storage unit 110. In the present embodiment, information is output from the load measuring device 60 to the work content recording device 100 at predetermined intervals, for example, every 0.1 second. The work content identification unit 112 calculates a waist load value from the acquired information and outputs it to the output data storage unit 110. Then, the work content is specified on the condition that a predetermined number, for example, 200 waist load data is stored in the output data storage unit 110. In other words, in the present embodiment, the work content recording apparatus 100 specifies the work content every 20 seconds. The time of 20 seconds is mainly determined based on the time required for the “transfer” work, but may be determined based on the time required for other work contents.

  The work content specifying unit 112 includes a waist load profile created from 200 waist load values stored in the output data storage unit 110 and a specific waist for each work content stored in the load storage unit 104. Pattern matching with load profile. In the pattern matching, the work content specifying unit 112 specifies the work content corresponding to the pattern having the matching degree larger than the predetermined threshold as the work content performed by the caregiver at the corresponding time or time zone. Note that the threshold value may be set to be lower so that at least one unique waist load profile having a higher degree of matching than the threshold value is selected in pattern matching. The work content identification unit 112 identifies a specific waist load profile having a degree of matching greater than the threshold by pattern matching, and identifies the work content corresponding to the specific waist load profile as the work content performed by the caregiver 40. .

  On the other hand, the tendency of the waist load value given to the caregiver 40 may be similar, for example, in the case of meal assistance and walk assistance. In this case, in pattern matching, it is not possible to distinguish between meal assistance and walk assistance, and there is a possibility that both meal assistance and walk assistance are specified as work contents performed by the caregiver 40. In such a case, the work content identification unit 112 may further identify the work content performed by the caregiver 40 with reference to the beacon ID.

  Next, a method for specifying the work content using the beacon ID will be described. As for the beacon ID, the work content specifying unit 112 specifies one beacon ID from 200 beacon IDs corresponding to the waist load values used for pattern matching. In the present embodiment, for example, the work content identification unit 112 identifies a beacon ID that is included most in the 200 beacon IDs. The work content specifying unit 112 refers to the position storage unit 106 and extracts the work content corresponding to the specified beacon ID. The work content specifying unit 112, when the extracted work content matches one of a plurality of work contents specified by pattern matching, the work content specifying unit 112, the work content performed by the caregiver 40. Is specified.

  The work content identification unit 112 outputs the identified work content, caregiver ID, time, and waist load value to the work content recording unit 114. The work content recording unit 114 records the identified work content, caregiver ID, and waist load value in the work record storage unit 118 in association with time. The time is, for example, an average value of times recorded together with the 200 waist load values used in pattern matching.

  FIG. 8 shows an example of the work record storage unit 118 stored in the work record database 116. In the work record storage unit 118, for example, the daily work contents are recorded together with the waist load value in association with time for each caregiver ID. Thus, by recording the work content and the waist load value in association with each other, the care giver 40 can clearly grasp how much the waist load is generated with respect to the work content performed by the caregiver 40. Thereby, the schedule of the work content of caregiver 40 grade | etc., Can be defined, grasping | ascertaining waist load. Further, while performing the same work content, it is possible to provide effective guidance to a caregiver with a large back load so that the back load is reduced. In the case where a work-specific load profile corresponding to each ID of the caregiver 40 or the like is stored in the load storage unit 104, it corresponds to the ID of the caregiver using a load profile created in the past. The attached work-specific load profile may be updated.

  When the work content and the waist load value are recorded in association with the time or the time zone, the work content recording device 100 is provided with a clock unit for recognizing the current time, and the load measuring device 60 receives signals indicating the load information and the angle information. By reading the time or time zone when received from the clock unit, the work content and the waist load value are associated with the time or time zone. Alternatively, a clock unit may be provided in the load measuring device 60, and the waist load value associated with the time or time zone information may be input to the work content recording device 100. On the other hand, when the work content and the waist load value are recorded in association with the time elapsed from a predetermined time point, for example, a time measurement unit that measures the elapsed time from the start of the load measurement device 60 or the start of measurement is used for load measurement. It is provided in at least one of the device 60 and the work content recording device 100, and the work content and the waist load value are associated with the time measured by the timing unit.

  FIG. 9 is a flowchart for explaining the process of identifying the work content of the caregiver and recording it in the work record storage unit 118. The flowchart shown in FIG. 9 starts when the work content specifying unit 112 acquires information indicating the trunk angle associated with the caregiver ID, the load information, and the beacon ID.

  In step S101, the work content identification unit 112 calculates a waist load value. The work content identification unit 112 acquires physical information such as the weight and trunk length corresponding to the caregiver ID from the caregiver information storage unit 108 stored in the work identification database. The work content specifying unit 112 calculates the waist load value of the caregiver 40 or the like based on the relational expression from the body information, the load information, and the information indicating the trunk angle (step S101).

  The work content specifying unit 112 stores the calculated waist load value in the output data storage unit 110 together with the information indicating the trunk angle, the load information, and the beacon ID (step S102). The work content identification unit 112 determines whether 200 waist load values are stored in the output data storage unit 110 (step S103). When 200 waist load values are stored (step S103: Yes), the work content specifying unit 112 uses the load profile created from the 200 waist load values to create a pattern. Matching is executed (step S104). On the other hand, when 200 waist load values are not stored (step S103: No), the process returns to step S101, and the work content specifying unit 112 again determines the waist load from the load information and the trunk angle. Calculate (step S101). When it is determined in step S103 that 200 waist load values are stored, the work content specifying unit 112 advances the process to step S104 and sets the number of stored waist load values in step S103 to 0. As described above, the processing from step S101 to step S103 is repeatedly executed until 200 new waist load values are stored in the output data storage unit 110.

  In step S105, it is determined whether or not the work content performed by the caregiver 40 or the like can be specified by the pattern matching performed in step S104 (step S105). When the work content that the caregiver 40 or the like is performing can be identified as one (step S105: Yes), the work content identification unit 112 stores the identified work content, the caregiver ID, and the work content recording unit 114. The time and the waist load are output to the work content recording unit 114 (step S106). The work content recording unit 114 records the work content specified for each caregiver ID in association with the time in the work record storage unit 118 together with the waist load (step S107), and specifies the work content of the caregiver. Thus, the process of recording in the work record storage unit 118 ends.

  On the other hand, in step S105, when the work content specifying unit 112 cannot specify one work content performed by the caregiver 40 (step S105; No), the work content specifying unit 112 uses the 200 used for pattern matching. The 200 beacon IDs recorded together with the individual waist loads are acquired. The work content identification unit 112 identifies the beacon ID that is included most in the 200 beacon IDs (step S108).

  The work content identification unit 112 refers to the position storage unit 106 and determines whether the work content corresponding to the beacon ID identified in step S108 has been extracted and the work content has been identified (step S109). The work content specifying unit 112 determines that the work content can be specified when the extracted work content matches one of the plurality of work contents selected by pattern matching (step S109: Yes), and the extracted work content The caregiver ID, the time, and the waist load value are output to the work content recording unit 114 (step S106).

  On the other hand, when the extracted work contents are not included in the work contents selected by pattern matching in step S109 (step S109: No), the work content specifying unit 112 performs the work contents performed by the caregiver 40. Is not recorded in the work record storage unit (step S110), and the process of recording in the work record storage unit ends.

  Thus, since each work content has a characteristic load profile, the work content recording apparatus according to the present embodiment is performed by a caregiver by performing pattern matching using these load profiles. The work contents can be accurately identified. Further, the work content can be specified more accurately by using the information indicating the position where the work content is performed.

  In the present embodiment, the example in which the work content specifying unit 112 calculates the waist load value has been shown. However, the load measuring device 60 may calculate the waist load value. Furthermore, when calculating the waist load value on the load measuring device side, the load measuring unit 62 may calculate the waist load value, or the control unit 67 side may calculate the waist load value. In this case, the load measuring device 60 is provided with a caregiver information storage unit 108 that records information such as the weight of the caregiver 40 or the like.

  In this case, the waist load value calculated by the load measuring device 60 is one piece of load information related to the load acting on the skeleton of the caregiver 40 or the like, and the receiving unit 101 of the work content recording device 100 receives this load information. . That is, in the present embodiment, the load information related to the load includes information indicating the load value acting on the skeleton and information used for calculating the load value.

  Moreover, in this embodiment, although the load information showed the example which is the information of the load changed by supporting a care recipient on the basis of the load when the caregiver 40 has nothing, instead of this, Alternatively, in addition to this, a load acting on the body part may be calculated based on the weight of the body part above the part of the skeleton from which the load value of the caregiver 40 etc. is calculated, and this value may be used as the load information.

  In the present embodiment, the work content specifying unit 112 specifies the work content of the caregiver 40 or the like based on the waist load generated when the work content is executed and the place where the work content is executed. explained. However, for example, instead of the load measuring device 60, for example, a pressure sensor may be provided in a cared person, a wheelchair, a care bed, a floor, and footwear, and the work content may be specified from the output value of the pressure sensor. In this case, a table in which the output value at each installation location of the pressure sensor is associated with the work content is prepared in advance, and the work content is specified by comparing it with the actually measured output value.

  In addition, when the scheduled times or time zones of a plurality of work contents that the caregiver 40 or the like performs during one day are determined in advance, the work content specifying unit 112 loads the load associated with the time or the time slot. Receives information and angle information, identifies the work contents by matching the time or time zone associated with these information with the scheduled execution time or time zone of each work content, and corresponds the work content and load information May be attached.

  Further, instead of recording the load information such as the load information and the angle information in the work content recording apparatus 100 in association with the time, for example, the load information is associated with the position of the caregiver 40 or the like in the work content recording apparatus 100. It may be recorded. In this case, each of the various work contents is associated with the position and stored in the work content recording unit 114, whereby the work content specifying unit 112 associates the load information with the work content via the position information. Also good.

  In the present embodiment, the work content specifying unit 112 specifies the work content of the caregiver 40 or the like based on the waist load generated when the work content is executed and the place where the work content is executed. explained. However, for example, instead of the load measuring device 60, a posture measuring unit that measures posture information of the caregiver 40 or the like (hereinafter referred to as “posture information”) may be used. In the posture, as in the case of the waist load, a set of data (hereinafter, referred to as a change of the specific posture information when the caregiver 40 performs the work content or the specific posture information when the work content is performed) ("Posture profile") is obtained, and by measuring the posture of the caregiver 40 during the work using the posture measurement unit, the work contents being carried out by the caregiver 40 etc. can be specified. In this case, the work content identification database 102 of the work content recording apparatus 100 includes a posture storage unit that stores a work-specific posture profile corresponding to the work content.

  In this case, the posture information measured by the posture measuring unit is received by the posture receiving unit. Using the posture information received by the posture receiving unit, the work content specifying unit 112 creates a posture profile. The work content identification unit 112 may identify the work content performed by the caregiver 40 or the like with reference to a work-specific posture profile corresponding to the work content stored in the posture storage unit. The posture measurement unit is a triaxial acceleration sensor provided on the back of the caregiver, but the shape of each lumbar vertebra acquired by the angle acquisition unit 66 may be substituted for the posture. In this case, the posture information includes, for example, information such as a skeletal muscle angle or a skeletal muscle angle in addition to the trunk angle.

  Furthermore, an imaging device may be provided at each position in the care facility 10, and the work content performed by the caregiver 40 may be specified using image information created by imaging the work content of the caregiver 40 or the like. In this case, the work content identification database 102 includes an image storage unit that stores image information corresponding to the work content. The work content specifying unit 112 specifies the work content that the caregiver 40 is performing by referring to the image information stored in the image storage unit and performing pattern matching with the image information that is captured and generated, for example. May be.

  Further, in this embodiment, when the work content identification unit 112 cannot identify the work content, that is, when there are a plurality of work contents corresponding to the actually detected load value, a plurality of work content candidates are displayed. It is also possible to provide a display unit for selecting an actual work content from the candidates. For example, the display unit may be provided in a terminal carried by the worker, and the work content specifying unit 112 may notify the mobile terminal when the work content is not specified.

  FIG. 10 shows a functional block diagram of another work content recording apparatus 200 according to the present embodiment. The work content recording device 200 further includes a load prediction unit 128, a schedule creation unit 130, an input unit 132, and an output unit 134, in addition to the work content recording device 100. The work record database 116 further includes a recovery amount storage unit 120, a scheduled load storage unit 122, and a work schedule storage unit 124.

  The input unit 132 receives input from the caregiver 40 or the like. The caregiver 40 or the like inputs, for example, the type and time of the work content desired by the care receiver 50 or the like. The input unit 132 stores the type and time of the input work content in the work schedule storage unit 124. The output unit 134 displays the work content schedule created by the schedule creation unit 130. The caregiver 40 or the like executes the work content based on the work content schedule displayed on the output unit 134.

  The recovery amount storage unit 120 stores a recovery amount that represents the recovery of waist fatigue for each caregiver 40. FIG. 11 shows an example of the recovery amount storage unit 120. The recovery amount storage unit 120 stores the recovery amount of the waist load when taking a break for one hour and the recovery amount when acquiring a day off in association with the caregiver ID.

  These recovery amounts are obtained, for example, as follows. The waist load integrated value representing the degree of fatigue accumulated on the waist of the caregiver 40 or the like is calculated by integrating the past waist load values of the caregiver 40 or the like. Assuming that the daily waist load integrated value of the caregiver 40, etc. is canceled between the end of the day's work and the start of the next day's work, the daily waist load integrated value is the time from the end of the work to the start of the work. The divided value is the amount of recovery per hour. In this case, the lumbar load integrated value is an integrated value of the compression force generated in the intervertebral disc of the lumbar vertebra, the unit is [N], and the unit of recovery is also [N].

  Alternatively, the recovery amount may be experimentally measured for each caregiver 40 in advance. For example, a sensor for measuring the myoelectric potential of the skeletal muscles arranged around the waist is provided in the load measuring device 60, and the waist load value is calculated using information measured by the sensor. That is, in this case, the waist load value is expressed not by the compression force [N] but by the myoelectric potential [mV]. The information on the function of the skeletal muscle is information for calculating the load acting on the skeletal muscle of the care giver 40 and the like, and is one of the load information on the load. When calculating the amount of recovery per hour using this sensor, the value of myoelectric potential when a caregiver 40 or the like makes a predetermined exercise with a load on the waist immediately after finishing work, and after a temporary break The difference from the value of myoelectric potential when exercising with the same load is obtained, and this value is taken as the recovery amount per hour.

  The scheduled load storage unit 122 stores a work content-specific waist load corresponding to each of a plurality of work contents. FIG. 12 shows an example of the scheduled load storage unit 122. The scheduled load storage unit 122 stores a waist load value that is generated when various work contents are performed in association with the caregiver ID. These waist load values are determined based on the waist load values generated when the caregiver 40 or the like has performed the work contents in the past.

  The load prediction unit 128 calculates the above-described waist load integrated value, and predicts a future waist load integrated value of the caregiver 40 or the like using the waist load integrated value. Further, the load predicting unit 128 predicts the future waist load of the caregiver 40 or the like using the residual load value that is the residual fatigue level obtained by subtracting the recovery amount of the caregiver 40 or the like from the waist load integrated value. Also good.

  In addition, the load prediction unit 128 includes a work schedule storage unit 124 in which a schedule of work contents such as the caregiver 40 is recorded, and a scheduled load in which waist load values unique to the work contents corresponding to each of the plurality of work contents are stored. Referring to the storage unit 122, the work schedule is calculated by integrating the waist load corresponding to the work content scheduled for the caregiver 40 and the waist load integrated value or residual load value up to the previous day of the schedule. A future waist load integrated value after the scheduled date stored in the storage unit 124 has elapsed is predicted. Note that, as described above, the load prediction unit 128 also performs integration of past waist load values, and thus functions as a calculation unit.

  The schedule creation unit 130 determines a work content schedule for the caregiver 40 and the like.

  FIG. 13A is a diagram for explaining a method for setting a work content schedule for a caregiver, and shows a work content schedule for XX month xx days. FIG. 13B is a diagram for explaining a method for setting a schedule of work contents of a caregiver, and shows a waist load integrated value after XX months and XX days have passed.

  The work content schedule described in FIG. 13A is determined by the schedule creation unit 130. The schedule creation unit 130 creates a work content schedule by allocating work content desired by the care recipient 50 and the like equally in advance for each caregiver ID. At this time, a work content schedule may be created with reference to the sleep time and physical condition of the caregiver 40 stored in the caregiver information storage unit 108. The meal time and bathing time are determined to be assigned to a predetermined time and time zone.

  FIG.13 (b) shows the waist load integrated value which added the residual load value until the day before it to the waist load integrated value of the work content set in Fig.13 (a). Such a predicted value of the waist load integrated value is calculated by the load prediction unit 128 and stored in the work schedule storage unit 124 via the schedule creation unit 130. As shown in FIG. 13 (b), the waist load integrated value after the XX month XX days have passed exceeds 80 for the caregiver IDs 0001 and 0002. Note that this numerical value of 80 is a waist load integrated value determined based on a waist load integrated value in which the fatigue recovery speed when reaching a waist load integrated value exceeding 80 is significantly slower than the normal case. This is the limit value. It should be noted that the limit value of the integrated back load value may be determined based on the back load value at which back pain occurs.

  The schedule creation unit 130 rearranges the schedule of the work content on the condition that the waist load integrated value of any caregiver calculated by the load prediction unit 128 exceeds 80. First, the schedule creation unit 130 identifies caregiver IDs whose waist load integrated value exceeds 80 after sorting by ID. In the case shown in FIG. 13B, the schedule creation unit 130 specifies the caregiver ID 0001 and the caregiver ID 0002.

  The schedule creation unit 130 displays the work content causing the largest waist load in the caregiver ID 0001 as the top row among the caregivers whose waist load integrated value does not exceed 80 and the caregiver ID is not specified. Replace with the work contents of the caregiver recorded in. The load prediction unit 128 calculates the waist load integrated value of the caregiver ID 0001 and the caregiver ID 0003 after the replacement. When the waist load integrated values of the caregiver ID 0001 and the caregiver ID 0003 after the replacement do not exceed 80, the schedule creation unit 130 executes the replacement. On the other hand, if the waist load integrated value of the caregiver ID 0001 or the caregiver ID 0003 after the replacement exceeds 80, the care worker ID 0001 is temporarily restored and replaced with the work contents of the caregiver recorded in the next line. This is repeated until the lowest line.

  If the replacement is not executed in all the rows, the above-described processing is repeated and executed using the work content that causes the second largest waist load in the caregiver ID 0001. If the replacement is not executed for all work contents, the schedule creation unit 130 causes the output unit 134 to display an error. The output unit 134 is a display device such as a display.

  FIG. 14A is a diagram for explaining a method for setting a schedule of work contents of a caregiver, and shows a schedule of work contents in XX month XX days after the work contents are replaced. FIG. 14B is a diagram for explaining a method for setting a schedule of work contents of a caregiver, and shows a waist load integrated value after XX months and XX days have passed. In the example illustrated in FIG. 14A, the schedule creation unit 130 performs replacement of “bath” of the caregiver ID 0001 and “meal” of the caregiver ID 0003, and “bath” of the caregiver ID 0002 and the caregiver ID 0004. Is replacing the “meal”. Accordingly, in FIG. 14B, the waist load integrated value after the lapse of XX month xx days is less than the limit value of 80 for any caregiver.

  In FIG. 13 (a) and FIG. 14 (a), recording may be performed from the upper row according to the length of the caregiver's service years. Veteran caregivers are able to quickly perform work content replacement in the method of confirming work content replacement from the upper row because the lower back load caused by the work content is small. Further, FIG. 13A, FIG. 13B, FIG. 14A, and FIG. 14B may be displayed on the output unit 134 by the schedule creation unit 130.

  As described above, the work content recording apparatus in the present embodiment can predict a future waist load by using the load prediction unit 128. Thereby, since the work content schedule can be made while confirming the waist load value of the caregiver 40 or the like, it is possible to avoid the situation where the recovery of the fatigue level caused by the integration of the waist load is delayed. Furthermore, it is possible to reduce low back pain that occurs due to accumulation of low back load.

  In addition, the schedule creation unit 130 determines the caregiver 40 based on the difference between the waist load integrated value generated by performing the scheduled work content and the specific waist load integrated value corresponding to the scheduled work content. The schedule of the work contents such as may be changed. That is, when the waist load value generated when actually performing the work is larger than the predicted waist load integrated value, the schedule creation unit 130 determines that the waist load integrated value is based on the difference. The schedule of the work content may be changed so as to reduce. In addition, when the waist load value generated when actually performing the work is smaller than the predicted waist load integrated value, the schedule creation unit 130 determines that the waist load integrated value is based on the difference. The schedule of work contents may be changed so as to increase.

  FIG. 15 is a functional block diagram of another work content recording apparatus 300 according to this embodiment. The work content recording apparatus 300 further includes an ideal work database 136 with respect to the work content recording apparatus 200. The ideal work database 136 includes an ideal posture storage unit 138.

  The ideal posture storage unit 138 stores the waist load value and posture information for each work content when the work content is performed so as to reduce the generated waist load. In the present embodiment, the posture information is composed of line segments obtained by connecting the sacrum 76, the fifth lumbar vertebra 77, the fourth lumbar vertebra 78, the third lumbar vertebra 79, the second lumbar vertebra 80, and the first lumbar vertebra 81 from below. In the present embodiment, the posture information is measured by the angle acquisition unit 66. Therefore, the angle acquisition unit 66 also functions as an attitude measurement unit.

  The work content identification unit 112 acquires ideal posture information from the ideal posture storage unit 138. For example, the work content identification unit 112 determines that the daily work content of the target caregiver is the meal (breakfast) → toilet → walk → meal (lunch) → toilet → cleaning → meal (dinner). ) → When it is identified as bathing, the work content identification unit 112 creates ideal posture information corresponding to the daily work content of the target caregiver by combining the corresponding work content. The work content specifying unit 112 causes the output unit 134 to output a difference between the ideal posture from the output data storage unit 110 for the target caregiver and the created ideal posture information.

  FIG. 16 shows an example of a display screen 150 that displays the difference between the ideal posture and the posture of the caregiver's work content. The display screen 150 includes a waist load display unit 152, an ideal posture display unit 154, and a work posture display unit 156.

  The waist load display unit 152 displays a profile 160 indicating the waist load value when the work is performed based on the ideal posture and a profile 162 indicating the waist load value when the caregiver performs the work. The work content specifying unit 112 creates a profile 160 indicating the waist load value associated with the time from the ideal posture information, and causes the output unit 134 to display the profile 160. In addition, the work content identification unit 112 creates a profile 162 indicating the waist load value associated with time using the information stored in the output data storage unit 110 and causes the output unit 134 to display the profile 162. The reference line 164 indicates a specific time with a line, and posture information corresponding to the time is displayed on the ideal posture display unit 154 and the work posture display unit 156.

  In the ideal posture display unit 154, for example, line segments obtained by connecting the coordinate points of the sacrum 76, the fifth lumbar vertebra 77, the fourth lumbar vertebra 78, the third lumbar vertebra 79, the second lumbar vertebra 80, and the first lumbar vertebra 81 from below. And an ideal posture model 172 showing the state of the whole body in the ideal posture. Similarly, a line segment obtained by connecting the coordinate points of the sacrum 76, the fifth lumbar vertebra 77, the fourth lumbar vertebra 78, the third lumbar vertebra 79, the second lumbar vertebra 80, and the first lumbar vertebra 81 from the bottom is similarly displayed on the work posture display unit 156. And the work posture model 182 showing the state of the whole body in the work posture.

  The work content specifying unit 112 creates an ideal posture 170 from the ideal posture information corresponding to the time indicated by the reference line 164 and causes the output unit 134 to display the ideal posture 170. The ideal posture model stores image data corresponding to a plurality of pieces of posture information in advance in the ideal posture storage unit 138, and the work content specifying unit 112 reads out the image data corresponding to the created ideal posture 170. And displayed on the ideal posture display unit 154.

  The work content specifying unit 112 reads the posture information recorded at the time indicated by the reference line 164 from the output data storage unit 110, creates an image showing the actual work posture 180, and causes the output unit 134 to display the image. . In addition, the work content identification unit 112 reads out image data corresponding to the created work posture 180 from the ideal posture storage unit 138 and causes the work posture display unit 156 to display the image data.

  Thus, by displaying the difference between the ideal posture and the actual work posture of the caregiver 40 or the like on the output unit 134, it is possible to educate the work of the caregiver 40 or the like to approach the ideal posture. Furthermore, by using this device for training for caregivers with little caregiving experience, it is possible to clarify the difference from the ideal work posture and shorten the time required to work in the ideal posture. it can.

  Next, an example of work record analysis processing by the work content recording apparatus 200 or 300 according to the present embodiment will be described. For example, it is assumed that the caregivers A to E are performing care work in the care facility 10.

  FIG. 17 is a graph showing a profile in which the waist load values of the caregivers A to E are displayed in time series. (A) of FIG. 17 shows the profile which displayed the waist load value of the caregivers A to E in the time series in * month (triangle | delta) day. In FIG. 17A, the vertical axis represents the waist load value. The horizontal axis represents time.

  The load predicting unit 128 identifies a load concentration time zone in which the waist load value in one day increases. The load predicting unit 128 reads out the waist load values of the caregivers A to E on the day of the month from the work record storage unit 118, and arranges the respective waist load values in time series.

  The load prediction unit 128 obtains a profile indicating the integrated value of the waist load values from A to E by integrating the waist load values of the caregivers A to E. For example, the load prediction unit 128 experimentally sets a threshold value for the waist load integrated value from A to E in advance, and a time zone in which the profile indicating the integrated value of the waist load value from the caregivers A to E exceeds the threshold value. Is identified as the load concentration time zone.

  Further, the load prediction unit 128 identifies the work contents of the caregivers A to E in the load concentration time period by referring to the work record storage unit 118. The load prediction unit 128 outputs information indicating the load concentration time zone and information indicating the work contents of the caregivers A to E in the load concentration time zone from the schedule creation unit 130 to the output unit 134, A load concentration time zone and work contents are displayed on 134.

  In this way, the load concentration time zone is displayed from the output unit 134, thereby providing an opportunity to take measures for eliminating the load concentration time zone. For example, the caregivers A to E may review the time schedule and cancel the load concentration time zone by performing part of the care work that was performed during the load concentration time zone in another time zone. it can.

  Further, by displaying data indicating the work content, it is possible to identify the work content that increases the waist load. Thereby, a work auxiliary device can be introduced for the work content in which the waist load is increased, and the load concentration time zone can be eliminated by suppressing the increase amount of the waist load value of the work content. For example, in the work from 8:30 to 9:30 and from 16:30 to 18:10, if the work content that increases the waist load is a transfer work from a bed, a device that assists the transfer work is provided. By introducing it, the amount of increase in the waist load value can be suppressed.

  (B) of FIG. 17 shows the profile which displayed the waist load value of the caregivers A to E in the time series in * month * day. In FIG. 17B, the vertical axis represents the waist load value. The horizontal axis represents time.

  ○ On the day of the month, the time schedule from 11:00 to 14:00 was reviewed, and for work from 8:30 to 9:30 and from 16:30 to 18:10, equipment that assists the work Has been introduced. For this reason, the waist load of the profile shown in FIG. In this way, by displaying the load concentration time zone and the work content from the output unit 134, the time schedule is reviewed and an opportunity to take measures such as introducing auxiliary equipment is given. By reflecting these measures, the load concentration time zone can be eliminated.

  Furthermore, another example of analysis processing will be described. FIG. 18 is a graph showing a profile in which the waist load values of the caregivers A to E are displayed in time series. FIG. 18A shows a profile in which the waist load values of the caregivers A to E on the day of the month △ are displayed in time series, as in FIG. The load prediction unit 128 identifies a caregiver with a large back load.

  The load prediction unit 128 extracts a caregiver who is performing the same work content on the day of the month. For example, it is assumed that caregivers A to E are performing the same work content on the day of the month. The load predicting unit 128 reads out the waist load values of the caregivers A to E from the work record storage unit 118 on the day of the month. The load prediction unit 128 calculates an integrated value of the waist load value of the caregiver A on the day of the month. Similarly, the load prediction unit 128 calculates an integrated value of the waist load values from B to E. In addition, the load prediction unit 128 calculates an average value of integrated values of the waist load values from A to E. The load predicting unit 128 identifies a caregiver with an integrated value of the waist load on the day of the month △ that is greater than the calculated average value as a caregiver with a large back load. The load prediction unit 128 outputs information indicating the specified caregiver from the schedule creation unit 130 to the output unit 134 and causes the output unit 134 to display a caregiver with a large back load. In the example shown in FIG. 18A, the waist load of the caregiver B protrudes and is large. Therefore, the caregiver B is displayed on the output unit 134.

  The caregiver B specified by the load predicting unit 128 has a lower back load than the average value despite the same work being performed. Therefore, there is a high probability that there is a problem in the work posture of the caregiver B. In this way, by displaying on the output unit 134 workers who have a problem with the work posture or the like, the worker is given an opportunity to receive guidance for improving the work posture. (B) of FIG. 18 shows the profile which displayed the waist load value of the caregivers A to E in the time series in * month * day. In FIG. 18B, the vertical axis represents the waist load value. The horizontal axis represents time. ○ On month □ day, caregiver B has undergone overall care work training, and his working posture has been improved. Therefore, as shown in FIG. 18B, the waist load value of the caregiver B is decreased as a whole.

  Furthermore, another example of analysis processing will be described. FIG. 19 is a bar graph in which average waist load values of caregivers A to E are summarized for each work place. (A) of FIG. 19 shows the bar graph which put together the average waist load value of the caregivers A to E in (circle) day for every work place. In FIG. 19A, the vertical axis indicates the average waist load value. The horizontal axis indicates the work place. The load predicting unit 128 specifies a work place where a large back load is given to the caregiver. For example, the load prediction unit 128 reads out the waist load values of the caregivers A to E from the work record storage unit 118 on the day of the month △, and the waist load values generated in the caregivers A to E for each work place. Is accumulated. The waist load threshold value is experimentally determined in advance, and the load predicting unit 128 determines that the work place has a large waist load to the caregiver when the integrated value of the waist load at each work place exceeds the threshold value. Identify the working place you are giving. The load prediction unit 128 outputs information indicating the identified work location from the schedule creation unit 130 to the output unit 134 and causes the output unit 134 to display the work location. In the example shown in FIG. 19A, the average waist load value of the toilet, bath, and dressing room is prominently large. Therefore, the output unit 134 displays toilets, baths, and dressing rooms.

  By displaying a work place where a large waist load is given to a caregiver on the output unit 134, an opportunity to introduce a work assisting device can be given to the work place. In addition, there is an opportunity to take measures such as increasing the number of caregivers and working with multiple people in places where it is difficult to introduce work auxiliary equipment.

  (B) of FIG. 19 shows a bar graph in which average waist load values of caregivers A to E on Δ month □ day are summarized for each work place. In FIG. 19B, the vertical axis indicates the average waist load value. The horizontal axis indicates the work place.

  △ In the month of the month, work auxiliary equipment has been introduced into the toilet, and measures are taken to increase the number of caregivers to two people in the bath and dressing room. Accordingly, in FIG. 19B, the average waist load value of the toilet, bath, and dressing room is low. Thus, by taking a preferential measure for the work place where the back load is increasing, the average back load of the caregiver can be maintained in a low state. Thereby, generation | occurrence | production of the back pain etc. of the caregiver by a back load can be prevented.

  In the example shown in FIG. 19A, the load prediction unit 128 may specify a caregiver whose average waist load value at each work place is larger than that of other caregivers. For example, in the bath of FIG. 19A, the load prediction unit 128 identifies the caregiver A as a caregiver with a large average waist load value. The load prediction unit 128 outputs information indicating the specified caregiver together with information indicating the work place from the schedule creation unit 130 to the output unit 134, and displays the caregiver A and the work place: bath on the output unit 134. You may let them.

  For example, although caregiver A specified in a bath is performing the same bath assistance as other caregivers, a large waist load is generated compared to other caregivers. Therefore, there is a high probability that there is a problem in the work posture of the caregiver A in bath assistance. By displaying the work place and the caregiver who is generating a large back load at the work place from the output unit 134, a large back load is generated for the worker A compared to other caregivers in bath assistance. The caregiver A can be given an opportunity to receive training or the like corresponding to bath assistance. Thereby, it is possible to prompt the caregiver A to receive training and guidance corresponding to bath assistance, and it can be expected that the work attitude of the caregiver A in bath assistance is improved early. The threshold value of the integrated value in the examples of FIGS. 17 and 19 may be determined based on the integrated value at which the fatigue recovery rate is significantly slower than the normal case. It may be set as a standard.

  Furthermore, another example of analysis processing will be described. It is a graph which shows the profile which shows the log | history of the movement of the caregiver's A place. (A) of FIG. 20 shows the profile which shows the log | history of the movement of the place of the caregiver A in (circle) day. In FIG. 20A, the vertical axis indicates time. The horizontal axis indicates the place of assistance.

  The assistance places shown on the horizontal axis are arranged such that near places in the care facility 10 are close to each other on the horizontal axis, and far away places in the care facility 10 are also placed apart on the horizontal axis. That is, since the living room 8 is close to the living room 9, it is adjacently arranged on the horizontal axis of FIG. On the other hand, since the living room 8 and the STAFFROOM are separated from each other, they are arranged farthest apart on the horizontal axis of FIG. In this way, by arranging the assistance location on the horizontal axis in FIG. 20A corresponding to the assistance location in the care facility 10, the length of the line in the graph is made to correspond to the movement distance of the caregiver. be able to.

  As shown in FIG. 20 (a), it can be seen that the movement distance of the caregiver A on the day of the month is repeatedly moving a long distance many times. In addition, the same operation is performed for the load prediction unit 128 and other caregivers B to E, and the created information is output to the schedule creation unit 130. For the caregivers A to E, the schedule creation unit 130 extracts a point before movement and a point after movement that have repeatedly moved for a long distance. Then, when a point before a caregiver moves and a point after another caregiver's movement match or are close to each other, the work schedules of the caregivers are rearranged so that the caregiver does not repeatedly move long distances. May be.

  (B) of FIG. 20 shows a profile indicating a history of movement of the place of caregiver A on Δ month □ day. On △ month □ day, the work contents of the caregivers are rearranged by the schedule creation unit 130 so as not to repeatedly move over long distances. Therefore, in FIG. 20B, the moving distance is shortened. In particular, the flat line around 17:00 to 17:30 in FIG. 20B is a flat line formed by rearranging the work schedule. As described above, the schedule creation unit 130 may determine a caregiver's care work schedule from the viewpoint of shortening not only the waist load integrated value but also the travel distance of the caregiver. Thereby, the moving distance of a caregiver can be shortened. If the movement distance cannot be reduced by rearranging the work schedule, the layout of the care facility 10 may be changed to optimize the caregiver's lead wires.

  Furthermore, another example of analysis processing will be described. FIG. 21 is a bar graph showing waist accumulated fatigue values of caregivers A to E. (A) of FIG. 21 is a bar graph showing the waist accumulated fatigue values of the caregivers A to E in Δ month. The waist accumulated fatigue value is obtained by integrating the waist load values of the caregiver 40 and the like, and represents the degree of fatigue accumulated on the waist of the caregiver 40 and the like, similarly to the above-described waist load integrated value. Further, in this embodiment, the waist accumulation fatigue value is obtained by adding the waist load integrated value for one month. In the graph shown in FIG. 21A, the horizontal axis indicates the load accumulation amount, which is the accumulation amount of the fatigue level. The vertical axis indicates caregivers A to E.

  The load prediction unit 128 identifies a caregiver who has a high degree of fatigue in the month. The load predicting unit 128 reads all the waist load values in the Δ month from the caregivers A to E from the work record storage unit 118. The load prediction unit 128 calculates the waist load accumulated value in the first month, the second week, the third week, and the fourth week of the month, and calculates the waist accumulated fatigue value in the month by adding them. To do.

  The load predicting unit 128 determines whether the calculated waist accumulated fatigue value exceeds a reference value experimentally determined in advance. The reference value is a limit value of the waist accumulated fatigue value determined based on the waist accumulated fatigue value at which the fatigue recovery rate becomes significantly slower than that in the normal case. Note that the reference value may be determined based on the value when the back pain occurs. In the example shown in (a) of FIG. 21, the reference value for lower back fatigue is, for example, 80.

  When the waist accumulated fatigue value exceeds 80, the load prediction unit 128 identifies the caregiver as a caregiver with a high degree of fatigue. In the example shown in FIG. 21A, the load predicting unit 128 identifies the caregiver C and the caregiver D as caregivers with high fatigue levels. The load prediction unit 128 outputs information indicating the identified caregiver from the schedule creation unit 130 to the output unit 134 and causes the output unit 134 to display the information.

  By displaying a caregiver with a high degree of fatigue from the output unit 134, the caregiver is given an opportunity to take measures. For example, the care schedule may be reviewed to reduce the waist load, the vacation may be acquired, and the waist load may be reduced by changing the arrangement. (B) of FIG. 21 is a bar graph showing the waist accumulated fatigue values of the caregivers A to E in the month. In the month, the waist accumulated fatigue values of the caregiver C and the caregiver D are reduced by the above measures. As described above, the fatigue level of the caregiver may be determined using the waist accumulated fatigue value accumulated in units of months. In addition, the load prediction unit 128 identifies a caregiver with a high degree of fatigue and causes the output unit 134 to display the caregiver. Thereby, a caregiver with a high degree of fatigue can be informed, and an opportunity to take necessary measures is provided. As a result, it is possible to quickly take measures against a caregiver who has a high degree of fatigue, thereby suppressing the occurrence of back pain or the like due to the fatigue.

  Furthermore, another example of analysis processing will be described. FIG. 22 is a bar graph showing the number of warnings issued from caregivers A to E. (A) of FIG. 22 is a bar graph showing the number of times of warnings issued from caregivers A to E in Δ month. In the graph shown in FIG. 22 (a), the horizontal axis indicates the integrated value of the number of warnings. The vertical axis indicates caregivers A to E.

  In the example shown in FIG. 22A, the work content recording device 200 or 300 issues a warning to a caregiver when a waist load value exceeding a predetermined waist load value is calculated. A warning part is further provided. Then, the work content recording unit 114 records the number of times the warning is issued in the work record storage unit 118 in association with the caregiver.

  The load prediction unit 128 identifies a caregiver who has a high degree of fatigue in the month. The load predicting unit 128 reads the number of times of warnings issued from the caregivers A to E in the Δ month from the work record storage unit 118. The load prediction unit 128 accumulates the number of warning alerts in the first week, the second week, the third week, and the fourth week of the month, and by adding them, accumulates the number of warning alerts in the month. Calculate the value.

  The load predicting unit 128 determines whether the calculated integrated value of the number of times of warning is over a reference value experimentally determined in advance. The reference value may be set based on the number of warnings that cause the recovery speed of fatigue to be significantly slower than normal, similar to the accumulated waist load and accumulated fatigue value. The value may be set as a reference. In the example shown in FIG. 22A, the reference value for the integrated value of the number of times of warning is 80, for example.

  The load predicting unit 128 identifies the caregiver as a caregiver having a high degree of fatigue when the integrated value of the number of warning alerts exceeds 80. In the example shown in FIG. 21A, the load predicting unit 128 identifies the caregiver C and the caregiver D as caregivers with high fatigue levels. The load prediction unit 128 outputs information indicating the identified caregiver from the schedule creation unit 130 to the output unit 134 and causes the output unit 134 to display the information.

  By displaying a caregiver with a high degree of fatigue from the output unit 134, the caregiver is given an opportunity to take measures. For example, the care schedule may be reviewed to reduce the waist load, the vacation may be acquired, and the waist load may be reduced by changing the arrangement. (B) of FIG. 22 is a bar graph showing the number of warnings issued from caregivers A to E in the month of month. It should be noted that the number of warnings issued by the caregiver C and the caregiver D is reduced in the month of the month due to the above measures. In this manner, the caregiver's fatigue level may be determined using the number of warnings accumulated in units of months. In addition, the load prediction unit 128 identifies a caregiver with a high degree of fatigue and causes the output unit 134 to display the caregiver. Thereby, a caregiver with a high degree of fatigue can be informed, and an opportunity to take necessary measures is provided. As a result, it is possible to quickly take measures against a caregiver who has a high degree of fatigue, thereby suppressing the occurrence of back pain or the like due to the fatigue.

  In the present embodiment, the work management apparatus 400 has been described using an example in which the care facility 10 is provided. However, the work management apparatus 400 may be installed in facilities such as hospitals, schools, factories, and the like, and can be applied to workers working in those facilities in the same manner as caregivers for the care facility 10.

  In this embodiment, the lumbar intervertebral disc has been described as an example of a skeleton for measuring the load of the caregiver 40 or the like. The present invention can be applied to measurement of a load acting on a joint. Further, in the present embodiment, an example in which load information relating to a load acting on the skeleton of the caregiver 40 or the like has been shown, but instead of or in addition to this, it acts on the skeletal muscle of the caregiver 40 or the like. You may use the load information regarding load. Skeletal muscle is a muscle for moving the skeleton, and does not include smooth muscle. In this case, for example, a sensor for measuring the myoelectric potential of skeletal muscles arranged around the waist may be provided in the load measuring device 60, and the waist load value may be calculated using information measured by this sensor. Thus, the information regarding the function of the skeletal muscle is information for calculating the load acting on the skeletal muscle of the care giver 40 and the like, and is one of the load information regarding the load.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be added to the above-described embodiment. It is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

  The execution order of each process such as operations, procedures, steps, and stages in the apparatus, system, program, and method shown in the claims, the description, and the drawings is particularly “before” or “prior”. It should be noted that they can be implemented in any order unless the output of the previous process is used in the subsequent process. Regarding the operation flow in the claims, the description, and the drawings, even if it is described using “first”, “next”, etc. for the sake of convenience, it means that it is essential to carry out in this order. is not.

10 nursing facilities, 11 beds, 12 living rooms, 13 toilets, 14 dining rooms, 15 tables, 16 changing rooms, 18 bathrooms, 20 staff rooms, 22, 24, 26, 28, 30 beacons, 40, 42, 44 caregivers, 50 , 52, 54, 56 Care recipient, 60 Load measurement device, 62 Load measurement unit, 64 Load measurement unit, 66 Angle acquisition unit, 67 Control unit, 68 Position acquisition unit, 69 Output unit, 70 Bending sensor, 75 Acceleration sensor , 76 Sacrum, 77 5th lumbar vertebra, 78 4th lumbar vertebra, 79 3rd lumbar vertebra, 80 2nd lumbar vertebra, 81 1st lumbar vertebra, 100, 200, 300 Work content recording device, 101 Reception unit, 102 Work content identification database, 104 Load storage unit, 106 position storage unit, 108 caregiver information storage unit, 110 output data storage unit, 112 work content specifying unit, 114 Work content recording unit, 116 Work record database, 118 Work record storage unit, 120 Recovery amount storage unit, 122 Scheduled load storage unit, 124 Work plan storage unit, 128 Load prediction unit, 130 Schedule creation unit, 132 Input unit, 134 Output unit, 136 ideal work database, 138 ideal posture storage unit, 150 display screen, 152 waist load display unit, 154 ideal posture display unit, 156 work posture display unit, 160, 162 profile, 164 reference line, 170 ideal posture, 172 Ideal posture model, 180 working posture, 182 working posture model, 400 work management device

Claims (25)

A load receiving unit that receives load information related to a load acting on at least one of the skeleton and skeletal muscle of the worker;
A work content identification unit that associates the load information with the work content of the worker;
A work management apparatus comprising: A recording unit for recording the load information in association with time;
The work management apparatus according to claim 1, wherein the work content specifying unit associates the load information recorded in the recording unit with the work content.   The work management apparatus according to claim 1, wherein the work content specifying unit specifies the work content of the worker and associates the specified work content with the load information.   The work management apparatus according to claim 1, further comprising a load measurement unit that measures the load of the worker. A load storage unit storing a work-specific load profile that records a change in the load with respect to time, corresponding to each of a plurality of work contents;
The work content specifying unit creates a load profile from the load information received by the load receiving unit, refers to the work-specific load profile stored in the load storage unit, and determines the work content of the worker. The work management apparatus according to claim 4 to be specified.   The work management apparatus according to claim 5, wherein the work-specific load profile is measured by executing the work contents in advance using the load measurement unit. A work content recording unit for recording the work content in association with the ID of the worker;
The load storage unit stores the load profile unique to the work corresponding to the ID of the worker,
The work management apparatus according to claim 6, wherein the load profile unique to the work content of the worker is updated using load information calculated in the work content performed by the worker in the past. A position storage unit storing information indicating a work position corresponding to each of a plurality of work contents;
A position receiving unit for receiving the work position of the worker;
Further including
The work content identification unit identifies the work position received by the position reception unit, refers to the work position corresponding to each of the plurality of work contents stored in the position storage unit, and performs the work of the worker The work management device according to any one of claims 2 to 7, wherein the content is specified. A posture storage unit that stores a posture profile unique to a work corresponding to each of a plurality of work contents;
A posture receiving unit for receiving posture information at the time of work of the worker;
Further including
The work content specifying unit creates a posture profile from the posture information, refers to the posture profile unique to the work stored in the posture storage unit, and specifies the work content of the worker. Item 9. The work management device according to any one of Items 8 to 8. An image storage unit storing image information corresponding to each of the plurality of work contents;
The work content specifying unit specifies the work content of the worker with reference to image information obtained by capturing the work content of the worker and image information stored in the image storage unit. Item 9. The work management device according to any one of Items 8 to 8. A posture receiving unit for receiving worker posture information;
A work management apparatus comprising: a work content identification unit that associates the posture information with the work content of the worker.   The work management device according to claim 11, wherein the work content identification unit identifies the work content of the worker and associates the identified work content with the posture information. A posture storage unit that stores a posture profile unique to a work corresponding to each of a plurality of work contents;
A posture receiving unit for receiving posture information at the time of work of the worker;
Further including
The work content specifying unit creates a posture profile from the posture information received by the posture receiving unit, specifies the work content of the worker with reference to the work-specific posture profile stored in the posture storage unit The work management apparatus according to claim 12. A calculation unit for calculating an integrated value obtained by integrating the load of the worker;
Using the integrated value, a load prediction unit that predicts the future load of the worker;
The work management apparatus according to claim 1, further comprising: A recovery amount storage unit that stores the recovery amount of the load for each worker;
The work management apparatus according to claim 14, wherein the load prediction unit predicts the future load of the worker using a residual load value obtained by subtracting the recovery amount from the integrated value. A work schedule storage unit for storing a schedule of work contents of the worker;
A load storage unit storing the work-specific load corresponding to each of a plurality of work contents;
Further including
The load prediction unit integrates the work-specific load corresponding to the work content of the worker recorded in the work schedule storage unit and the integrated value, thereby calculating the future load of the worker. The work management apparatus according to claim 14 or 15, which predicts. Further including a schedule creation unit for scheduling the work content of the worker;
The schedule creation unit has a limit value obtained by adding the work-specific load corresponding to the work content selected as the work content schedule on X days to the residual load value of at least X-1 day of the worker. The work management apparatus according to claim 16, wherein a schedule of work contents of the worker on day X is set so as not to exceed. A calculation unit for calculating an integrated value obtained by integrating the load of the worker;
A work schedule storage unit for storing a schedule of work contents of the worker;
A load storage unit storing the work-specific load corresponding to each of a plurality of work contents;
A schedule creation unit that schedules the work content of the worker,
The schedule creation unit, based on a difference between the integrated value in the work content performed by the worker and a value obtained by integrating the work-specific load of the scheduled work content, The work management apparatus according to claim 1, wherein the schedule is changed. An ideal posture storage unit storing ideal postures corresponding to each of a plurality of work contents;
The ideal posture corresponding to the work content specified by the work content specifying unit and the posture of the worker calculated from the posture information received by the posture receiving unit when the worker executes the work content The work management device according to any one of claims 9 and 11 to 13, further comprising an output unit that outputs a difference between the output unit and the output unit.   The work management apparatus according to claim 19, wherein the output unit outputs a difference between the ideal posture and the posture of the worker calculated from the posture information received by the posture receiving unit to a display device.   The output unit outputs a difference between the ideal posture and the posture of the worker calculated from the posture information received by the posture receiving unit to a portable terminal owned by the worker. The work management device described. A load receiving step for receiving load information relating to a load acting on at least one of the skeleton and skeletal muscle of the worker;
A work management method comprising: a work content specifying step for associating the load information with the work content of the worker. A posture accepting step for accepting worker posture information;
A work content specifying step for associating the posture information with the work content of the worker;
Work management method including. A load acceptance function for receiving load information relating to a load acting on at least one of the skeleton and skeletal muscle of the worker, a work content specifying function for associating the load information with the work content of the worker,
Work management program including A posture reception function for receiving worker posture information;
A work content specifying function for associating the posture information with the work content of the worker;
Work management program including

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